What is the role?
This role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties, and predict the outcomes of organic synthesis.
You will work closely with domain experts in drug discovery to curate datasets, benchmark algorithms, analyze biotech assay results, deploy models, and relentlessly get to the truth about what works and what doesn’t in tools for drug discovery. Your favorite tool is whichever one helps the world cure more diseases faster, full stop.
We envisage that some of the work will be showcased at top conferences/journals -- giving back to the scientific community is a core value of PostEra.
Required
- At least 2-3 years of industry experience applying ML to 'real-world' problems.
- Comfort with modern development and deployment tools (Git, Linux, AWS).
- Proven competence in modern deep learning architectures.
Desired
- Experience in applying ML to chemistry or drug design problems.
About PostEra
PostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry. We have raised over $26M from top investors, established two strategic partnerships with Pfizer, secured a multi-year partnership with the NIH to prevent pandemics, and are in the process of building our internal pipeline. We also launched and help lead the world's largest open-science initiative to find a COVID antiviral; COVID Moonshot.
PostEra
